Founding AI Engineer

Motion Recruitment; Charlotte (NC); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical Insurance

Dental Benefits

Vision Benefits

PTO

Equity / Long-Term Incentive Potential

Job summary

Motion Recruitment in Charlotte, NC is seeking a Founding AI Engineer to architect and own the company’s AI infrastructure from the ground up. This on-site role focuses on building scalable AI systems for investment analysis, asset management, and acquisition workflows.

You will lead RAG pipelines, multi-agent frameworks, and fine-tuned models, while shaping the AI technical vision from day one and collaborating with leadership to translate business needs into production solutions.

Qualifications

• 3+ years of software or AI engineering experience
• BS or MS in Computer Science, Engineering, or related field
• Experience building and evaluating LLM systems in production

Responsibilities

• Architect and build RAG pipelines, multi-agent frameworks, and fine-tuned models from scratch.
• Design evaluation loops to measure LLM accuracy, hallucinations, latency, and cost.
• Own production infrastructure, including API integrations, streaming responses, data processing, and system safety guardrails.
• Build and scale AI systems that support deal sourcing, investment analysis, and asset management workflows.
• Integrate AI tools with existing platforms, databases, and internal systems.
• Define and own the AI technical vision from day one, including architecture, delivery, iteration, and scale.
• Partner with firm leadership to identify automation opportunities and translate business needs into production solutions.

Skills

Python

LLM APIs

RAG pipeline development

Multi-agent frameworks

API integration and production infra

SQL & databases

Cloud platforms (AWS/Azure/GCP)

Education

BS or MS in Computer Science or related field

Tools

Pinecone

Weaviate

pgvector

Job description

As a Founding AI Engineer, you will help a Charlotte-based real estate investment and development firm architect and own its AI infrastructure from the ground up. This is an on-site role (5 days/week) focused on building and scaling AI systems that support investment analysis, asset management, acquisition workflows, and operational decision-making.

Responsibilities

• Architect and build RAG pipelines, multi-agent frameworks, and fine-tuned models from scratch.
• Design evaluation loops to measure LLM accuracy, hallucinations, latency, and cost.
• Own production infrastructure, including API integrations, streaming responses, data processing, and system safety guardrails.
• Build and scale AI systems that support deal sourcing, investment analysis, and asset management workflows.
• Integrate AI tools with existing platforms, databases, and internal systems.
• Define and own the AI technical vision from day one, including architecture, delivery, iteration, and scale.
• Partner directly with firm leadership to identify automation opportunities and translate business needs into production solutions.

Required Skills and Qualifications

• Python
• LLM APIs (OpenAI, Anthropic, Google, etc.)
• RAG pipeline development
• Multi-agent frameworks (LangChain, LangGraph, CrewAI, or similar)
• API integration and production infrastructure experience
• SQL and database knowledge
• Cloud platforms (AWS, Azure, or GCP)

Technologies

• Python, OpenAI, Anthropic, Google
• RAG, LangChain, LangGraph, CrewAI
• SQL
• AWS, Azure, GCP
• Pinecone, Weaviate, pgvector

Role Focus and Time Allocation

• 70% AI System Development & Production Infrastructure
• 20% Evaluation, Testing & Optimization
• 10% Stakeholder Collaboration & Technical Strategy
• 100% Hands On

Education and Experience

• 3+ years of software or AI engineering experience
• BS or MS in Computer Science, Engineering, or related field
• Experience building and evaluating LLM systems in production

Additional Desired Skills

• Model evaluation frameworks covering accuracy, hallucination, latency, and cost
• Experience in finance, real estate, or investment management environments
• Comfort working directly with executives and non-technical stakeholders
• Self-starter who can independently own a technical roadmap

Benefits

• Competitive Base Salary + Performance Bonus
• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• Equity / Long-Term Incentive Potential

Location and Work Model

Charlotte, NC (onsite), 5 days/week.